ÓÄÊ: 658.14/17
Kruglov
V. N.
doctor
of economic Sciences, Professor of Department of Economics
Institute
of management, business and technology,
Kaluga,
Russia
The algorithm
for generating the efficient management
Keywords: processes, parameters, subsystems,
efficiency, evaluation, features, costs, characteristics, alternatives, the
study.
Abstract: this article discusses the problems of
applying the process approach in the diagnostic system of effective management.
At the level of the parametric analysis of the available information is modeled
operating cycle of organizational development with all the attendant
opportunities and threats, strengths and weaknesses. To search for the optimal
vector of development apply the elements of mathematical analysis by
constructing the appropriate algorithm. Practical conclusions and
recommendations.
Based on the definition and nature of the term
"diagnosis", the structuring of the process of managerial diagnostics
allows you to select a certain number of component processes: gathering
information about the diagnostic object, the holding on the basis of its
analysis and subsequent measurement (phase estimation). So check the contents
of the main processes.
Analysis is the process of system analysis, which is
based on the decomposition principle with the further finding of the
characteristics in the statistics and dynamics of the constituent elements of
the system. They are examined in interconnection with other components of the
system and the external environment.
The analysis is carried out to drill down to data
systems for more complete and effective use or for making decisions to improve
the system or its replacement. In this case, the analysis is used to examine
alternatives when creating a new system to determine the best option.
The system has a plurality of measurable and
non-measurable properties. They can be expressed using quantitative and/or
qualitative indicators, parameters and characteristics [1, p. 311]. Using the
tools, models and methods of analysis a researcher studying the indices P and
then evaluates them in accordance with the specified (normative) parameters. In
the assessment process among a large number of measured data P* = P*U P*are
fixed indicators N*N that do not meet set requirements, and data P*Y, which
correspond to these requirements. According to the evaluation results, develop
recommendations and activities to address the identified deficiencies, to
improve the system or its replacement.
Structural analysis is performed to study the static
characteristics of the system through the allocation to her of related
subsystems and elements of different management levels and identify
relationships and interactions between levels and subsystems [2, p. 237].
In the process of functional analysis models are built
functioning that reflect and characterize the processes and changes of the
object state, who directed management impact and influence of these processes
on the effectiveness of management. Integrated characterization and modeling of
applied functional diagrams and network diagrams, and to simulate the operation
of individual elements of the system and address specific management tasks
depending on the source characteristics and tasks, you can apply various models
for optimal enterprise management (deterministic and stochastic) and developing
solutions.
Based on the
selected evaluation indicators, it is concluded that the efficiency of the
investigated processes, and develop recommendations on amendments to the list
of task management systems, their interrelations with tasks the individual
subsystems and methods on the basis of which decisions are made. Also
highlighted new challenges, enhancing management effectiveness, are formed
proposal to rationalize the use of resources and improvement of private and
General control algorithms.
The functional analysis procedure can be divided into
stages [3, p.305]:
1. Characterization of the overall management process,
which is adopted in the system under study;
2. The separation management process on a separate
private tasks, operations, or functions that the individual elements of the
enterprise management system.
3. The determination of indicators of qualitative and
quantitative nature in the analyzed business processes and management
functions.
4. Construction criteria and evaluation on their basis
the effectiveness of the management system and its functioning.
5. Making a reasoned decision about the need to
improve the functional characteristics of the enterprise management system.
Information analysis is carried out for the purposes
of the study characteristics, quantitative and qualitative data useful for use
in the control system. The objects under test are flows of information and
various data arrays, which are formed in the process of enterprise management,
methods, techniques and means of transmission, further processing, storage in
databases, views, users, input and output in the management process.
In the process
of analysis the following indicators apply:
1. Total volume and speed information;
2. The reliability of the transmitted information;
3. The flow directions of the information;
4. Assessment of methods of information processing and
allowable errors;
5. Qualitative analysis of the information structure.
When quantitative values in the field of information
indicators and assessing their impact on overall performance of the system,
there are different table or matrix and graphical models that reflect the
structure, key indicators, and the nature of the relationships in the flow of
information. The basis for constructing models of information systems can be
model based on structural and functional parameters that are tailored to the
nature of information and its various characteristics.
According to the results of information analysis are
developed preliminary recommendations on the provision of information system of
enterprise management, which include the specificity of the information, its
structure, necessary for the proper interaction of components of the system
and, in General, its functioning, structure, information exchange, etc.
Information for
economic analysis of management systems arrays and explores the flow of
information with regard to existing types of communication and interaction of
individual elements of the systems and subsystems: the man and man; man and
machine; and the machine.
Parametric
analysis generalizes the results of all the above areas of analysis, it does so
for the purpose of assessing the effectiveness of the management of
quantitative values of indicators characterizing her. Objects of this analysis
are private and overall performance of the system, expressed in the outline
hierarchy. The highest level of this structure belong to the indicators
characterizing the external properties of the system, which enable to assess
its impact on the efficiency of building and solving the task supervising
system, and lower levels correspond to the individual characteristics of the
elements of the system of enterprise management.
Based on the results of the parametric analysis, the
conclusion is formed about the feasibility of using the investigated system,
and identifies the most important areas for improvement, which are able to
improve those indicators that are most actively influence the efficiency of
enterprise management.
The General algorithm of the parametric analysis
consists of the following operations:
- definition of the object for analysis;
- allocation of the baseline system and system levels;
- selection of methods and tools for calculation of
indicators;
- the selection or development of methods and means of
evaluation indicators;
planning scheme analysis of the subject study;
- preliminary diagnosis of the status of the research
object;
- making the outcome of the analyses.
Therefore, we can conclude that at this stage a
diagnosis is necessary for justification of the project and consistent
implementation of measures for improvement of the management system on a
modified process.
Literature:
1.
Kruglov V. N., Leontiev
L. S. the problem of enhancing the innovation capacity of the regional level.
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Kruglov V. N., Mayorovà M. A.
Organizational and managerial innovations in the use of land in agriculture.
/V. N. Kruglov, M. A. Mayorova,// Economics and
entrepreneurship. – 2014. – ¹ 12 (4) – S. 231 -237.
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Kruglov V. N.,
Nuts S. A. Peculiarities of regional innovation policy in the model building
for sustainable development of territories. /V. N. Kruglov, S. A. Nuts//
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